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논문 기본 정보

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학술저널
저자정보
Ganesh Ramaji Nimje (Department of Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, India) Vipin Kumar Goyal (Department of Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, India) Pankaj Singh (Department of Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, India) Praveenkumar Shekhrajka (Department of Anaesthesia, Mahatma Gandhi Medical College and Hospital, Jaipur, India) Akash Mishra (Division of Biostatistics, Department of Community Medicine, Mahatma Gandhi Medical College and Hospital, Jaipur, India) Saurabh Mittal (Department of Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, India)
저널정보
대한이식학회 Clinical Transplantation and Research Clinical Transplantation and Research 제38권 제3호
발행연도
2024.9
수록면
188 - 196 (9page)
DOI
10.4285/ctr.24.0025

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Background: When applying lung-protective ventilation, fluid responsiveness cannot be predicted by pulse pressure variation (PPV) or stroke volume variation (SVV). Functional hemodynamic testing may help address this limitation. This study examined whether changes in dynamic indices such as PPV and SVV, induced by tidal volume challenge (TVC), can reliably predict fluid responsiveness in patients undergoing renal transplantation who receive lung-protective ventilation. Methods: This nonrandomized interventional study included renal transplant recipients with end-stage renal disease. Patients received ventilation with a 6 mL/kg tidal volume (TV), and the FloTrac system was attached for continuous hemodynamic monitoring. Participants were classified as responders or nonresponders based on whether fluid challenge increased the stroke volume index by more than 10%. Results: The analysis included 36 patients, of whom 19 (52.8%) were responders and 17 (47.2%) were nonresponders. Among responders, the mean ΔPPV6-8 (calculated as PPV at a TV of 8 mL/kg predicted body weight [PBW] minus that at 6 mL/kg PBW) was 3.32±0.75 and ΔSVV6-8 was 2.58±0.77, compared to 0.82±0.53 and 0.70±0.92 for nonresponders, respectively. ΔPPV6-8 exhibited an area under the curve (AUC) of 0.97 (95% confidence interval [CI], 0.93–1.00; P≤0.001), with an optimal cutoff value of 1.5, sensitivity of 94.7%, and specificity of 94.1%. ΔSVV6-8 displayed an AUC of 0.93 (95% CI, 0.84–1.00; P≤0.001) at the same cutoff value of 1.5, with a sensitivity of 94.7% and a specificity of 76.5%. Conclusions: TVC-induced changes in PPV and SVV are predictive of fluid responsiveness in renal transplant recipients who receive intraoperative lung-protective ventilation.

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